Segui
Fiorella Zampetti
Titolo
Citata da
Citata da
Anno
Sentiment analysis for software engineering: How far can we go?
B Lin, F Zampetti, G Bavota, M Di Penta, M Lanza, R Oliveto
Proceedings of the 40th international conference on software engineering, 94-104, 2018
1412018
Detecting missing information in bug descriptions
O Chaparro, J Lu, F Zampetti, L Moreno, M Di Penta, A Marcus, G Bavota, ...
Proceedings of the 2017 11th Joint Meeting on Foundations of Software …, 2017
1112017
How open source projects use static code analysis tools in continuous integration pipelines
F Zampetti, S Scalabrino, R Oliveto, G Canfora, M Di Penta
2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017
1002017
A tale of CI build failures: An open source and a financial organization perspective
C Vassallo, G Schermann, F Zampetti, D Romano, P Leitner, A Zaidman, ...
2017 IEEE international conference on software maintenance and evolution …, 2017
522017
Continuous delivery practices in a large financial organization
C Vassallo, F Zampetti, D Romano, M Beller, A Panichella, M Di Penta, ...
2016 IEEE International Conference on Software Maintenance and Evolution …, 2016
522016
Pattern-based mining of opinions in Q&A websites
B Lin, F Zampetti, G Bavota, M Di Penta, M Lanza
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
412019
Was self-admitted technical debt removal a real removal? an in-depth perspective
F Zampetti, A Serebrenik, M Di Penta
2018 IEEE/ACM 15th International Conference on Mining Software Repositories …, 2018
402018
Recommending when design technical debt should be self-admitted
F Zampetti, C Noiseux, G Antoniol, F Khomh, M Di Penta
2017 IEEE International Conference on Software Maintenance and Evolution …, 2017
372017
An empirical characterization of bad practices in continuous integration
F Zampetti, C Vassallo, S Panichella, G Canfora, H Gall, M Di Penta
Empirical Software Engineering 25 (2), 1095-1135, 2020
352020
Automatically learning patterns for self-admitted technical debt removal
F Zampetti, A Serebrenik, M Di Penta
2020 IEEE 27th International Conference on Software Analysis, Evolution and …, 2020
252020
A study on the interplay between pull request review and continuous integration builds
F Zampetti, G Bavota, G Canfora, M Di Penta
2019 IEEE 26th International Conference on Software Analysis, Evolution and …, 2019
252019
Sbst tool competition 2021
S Panichella, A Gambi, F Zampetti, V Riccio
2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing …, 2021
222021
Why developers refactor source code: A mining-based study
J Pantiuchina, F Zampetti, S Scalabrino, V Piantadosi, R Oliveto, G Bavota, ...
ACM Transactions on Software Engineering and Methodology (TOSEM) 29 (4), 1-30, 2020
222020
How open source projects use static code analysis tools in continuous integration pipelines. In 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR)
F Zampetti, S Scalabrino, R Oliveto, G Canfora, M Di Penta
IEEE, 2017
182017
Self-admitted technical debt removal and refactoring actions: Co-occurrence or more?
M Iammarino, F Zampetti, L Aversano, M Di Penta
2019 IEEE International Conference on Software Maintenance and Evolution …, 2019
172019
How developers document pull requests with external references
F Zampetti, L Ponzanelli, G Bavota, A Mocci, M Di Penta, M Lanza
2017 IEEE/ACM 25th International Conference on Program Comprehension (ICPC …, 2017
162017
On the relationship between refactoring actions and bugs: a differentiated replication
M Di Penta, G Bavota, F Zampetti
Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020
152020
Demystifying the adoption of behavior-driven development in open source projects
F Zampetti, A Di Sorbo, CA Visaggio, G Canfora, M Di Penta
Information and Software Technology 123, 106311, 2020
122020
Self-admitted technical debt practices: a comparison between industry and open-source
F Zampetti, G Fucci, A Serebrenik, M Di Penta
Empirical Software Engineering 26 (6), 1-32, 2021
92021
Sentiment analysis for software engineering: How far can we go? In 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE)
B Lin, F Zampetti, G Bavota, M Di Penta, M Lanza, R Oliveto
IEEE, 2018
92018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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